Tuan-Chien Vu

Hanoi University of Science and Technology

Papers

Total Citations

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About

Tuan-Chien Vu is a leading researcher in the field of bio-inspired robotics and rehabilitation engineering, with a primary focus on the control of pneumatic artificial muscles (PAMs) for human-robot interaction systems. His most cited work, "Adaptive fuzzy sliding mode control of an actuator powered by two opposing pneumatic artificial muscles" (2023, 26 citations), addresses the critical challenge of controlling PAMs—highly nonlinear actuators with inherent uncertainty and delay. Vu’s major contribution lies in developing a discrete-time sliding mode control strategy that integrates adaptive fuzzy logic, enabling robust and precise actuation despite these complexities. This innovation directly advances the reliability of rehabilitation robots, such as exoskeletons and assistive devices, where safe and responsive human-robot interaction is paramount. Beyond this, Vu’s research portfolio spans adaptive control, fuzzy systems, and soft robotics, consistently targeting real-world applications in medical robotics. His work has garnered attention for its practical impact, offering a pathway to more effective and safer rehabilitation technologies. With a citation count reflecting growing influence, Vu is recognized for bridging theoretical control methods with tangible engineering solutions, making him a notable figure in the intersection of robotics and rehabilitation science.